AIMC Topic: Natural Language Processing

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Performance of Machine Learning Methods to Classify French Medical Publications.

Studies in health technology and informatics
Many medical narratives are read by care professionals in their preferred language. These documents can be produced by organizations, authorities or national publishers. However, they are often hardly findable using the usual query engines based on E...

Deep Learning-Based Brain Hemorrhage Detection in CT Reports.

Studies in health technology and informatics
Radiology reports can potentially be used to detect critical cases that need immediate attention from physicians. We focus on detecting Brain Hemorrhage from Computed Tomography (CT) reports. We train a deep learning classifier and observe the effect...

Topic Modeling for International Patients' Consultations Using Natural Language Processing.

Studies in health technology and informatics
We extracted major topic by applying natural language processing and keyword extracting using TF, TF-IDF, TextRank, Yake, KeyBERT. 1452 consultation data were collected from the website and official hospital e-mail. We found six topics categorized in...

Clustering Nursing Sentences - Comparing Three Sentence Embedding Methods.

Studies in health technology and informatics
In health sciences, high-quality text embeddings may augment qualitative data analysis of large amounts of text by enabling, e.g., searching and clustering of health information. This study aimed to evaluate three different sentence-level embedding m...

Assessment of Health Service Quality Through Electronic Health Record - A Scoping Review.

Studies in health technology and informatics
The World Health Organization defines, that high quality health services should be effective, safe, people-centered, timely, equitable, integrated, and effective. This requires systematic quality assessment. The aim of this scoping review was to expl...

Causal Associations Among Diseases and Imaging Findings in Radiology Reports.

Studies in health technology and informatics
This study explored the ability to identify causal relationships between diseases and imaging findings from their co-occurrences in radiology reports. A natural language processing (NLP) system with negative-expression filtering detected positive men...

Pretrained Neural Networks Accurately Identify Cancer Recurrence in Medical Record.

Studies in health technology and informatics
Cancer recurrence is the diagnosis of a second clinical episode of cancer after the first was considered cured. Identifying patients who had experienced cancer recurrence is an important task as it can be used to compare treatment effectiveness, meas...

Towards the Application of Machine Learning in Emergency Informatics.

Studies in health technology and informatics
Emergency care is one of the cornerstone parts of the world health organization's action plan. Rapid response and immediate care are considered in agile emergency care. Artificial intelligence (AI) and informatics have been applied to fulfill these r...

Burnout and Depression Detection Using Affective Word List Ratings.

Studies in health technology and informatics
Burnout syndrome and depression are prevalent mental health problems in many societies today. Most existing methods used in clinical intervention and research are based on inventories. Natural Language Processing (NLP) enables new possibilities to au...

Evaluation of Domain-Specific Word Vectors for Biomedical Word Sense Disambiguation.

Studies in health technology and informatics
Among medical applications of natural language processing (NLP), word sense disambiguation (WSD) estimates alternative meanings from text around homonyms. Recently developed NLP methods include word vectors that combine easy computability with nuance...